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Introduction While studying concurrent network programming, I explored how to implement a worker pool in F# using MailboxProcessor, F#'s built-in actor abstraction. The example launches multiple worke
Introduction Concurrency is everywhere inside the Linux kernel. Multiple execution contexts may attempt to access the same data simultaneously, leading to race conditions and corrupted state. In this
Introduction Scanning one TCP port at a time is simple, but it is inefficient. Network operations spend most of their time waiting for remote hosts to respond. Instead of scanning ports sequentially,
Introduction Synchronization bugs are among the most difficult issues to debug in kernel-space software. A simple character device driver can become unsafe when multiple processes access shared resour
Building a Simple Nonconcurrent TCP Port Scanner in F# Port scanning is one of the most fundamental techniques in networking and security. Before diving into high-performance concurrent scanners, it's
Introduction One of the best ways to understand TCP networking is by building a simple port scanner. A port scanner attempts to connect to remote TCP ports and determines whether they are available. W
Introduction Linux kernel development is traditionally associated with topics such as synchronization, locking, atomicity, interrupt handling, and race condition prevention. Modern cloud infrastructur
Introduction Writing Linux kernel code is very different from writing user-space applications. The kernel runs with direct access to hardware, supports multiple CPUs, handles interrupts, and manages s
Understanding Spinlocks, Data Races, Global Variables, and ISA Detection in Linux Kernel Modules When developing Linux kernel modules, understanding synchronization and system architecture is essentia
